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PLM adoption can be a source of competitiveness and sustainability for SMEs. In the other hand, the introduction of new ICT (Information and communication technologies) technologies, such PLM, is a complex process that involves challenging the existing organization, not only in terms of information flow but also the human resources management and OEM/Suppliers relationship level. As seen in literature review, there are a number of factors that facilitate the adoption of ICT technology, but we also identified a number of obstacles that will need to act as the adoption takes place. The paper focused on issues regarding the ICT adoption, especially PLM solutions by SMEs. Based on investigation, this paper proposes a mathematical model of PLM adoption.

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In this article, we introduce adaptive estimators for parameters of the (GPD) Generalized Pareto Distribution under censored data via the KIB-estimator. The KIB-estimator is based on the Maximum Likelihood Estimates (MLE) by the exceedances over the threshold t under random censoring which was developed by [1]. Hence, it was proved that the KIB-estimator is Maximum Likelihood (ML) estimator with the uncensored case. We use the standardized MLE based on the exceedances on the uncensored situation which converge to a centered bivariate normal distribution. Whose found by [2] to standardized our adaptive KIB estimator of the GPD parameters under random censorship. As an application, we establish the asymptotic normality of an estimator of the excess-of- loss reinsurance premium for heavy-tailed distribution, through the adapted KIB estimator of GPD under censored data.